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About

Kyrke Glette is a prominent robotics researcher whose work spans evolutionary robotics, human-robot interaction, and medical robotics. Based at the University of Oslo, Glette has made significant contributions to the field of embodied artificial intelligence, particularly in developing robots capable of adapting their physical morphology and locomotion strategies through evolutionary algorithms. Among his most influential contributions is his pioneering work on robotic ultrasound systems, demonstrating how commercial robots like the UR5 can be integrated into clinical healthcare settings — a paper that has garnered over 150 citations. His 2021 work on morphologically adaptive quadruped robots (106 citations) represents a landmark achievement in real-world embodied AI, exploring how robots can physically reshape themselves to better navigate complex environments. Glette has also advanced the field of evolvable robot morphologies, investigating how both robot bodies and controllers can co-evolve, including through Lamarckian evolutionary frameworks. His human-robot interaction research, notably the BioSleeve — an EMG-based gesture control interface — demonstrates his broad interdisciplinary reach. With consistent citation impact across medical robotics, swarm robotics, and neuroevolution, Glette's research fundamentally addresses one of robotics' central challenges: creating machines that intelligently adapt to an unpredictable physical world.